Spark/Ncr Atm Supervisor at Fidelity Services Group

Job Introduction:

• Overall administration and oversight of the Spark/NCR ATM recon process in line with company policies and procedures and that the client’s needs are always efficiently and professionally met.

Key Performance Areas: (not totally inclusive):

Effective supervisory of the ATM function

• Oversight and control over ATM recon
• Assisting Recon Team with any Recon query
• Maintaining the integrity of all the Recon per ATM and cycle
• Daily monitoring of open and outstanding items on the Spark/NCR Recon
• Management of the process for claims daily to ensure all relevant questions is asked

Management of customer recon queries

• Resolving of client recon queries in partnership with Fidelity Cash Centres
• Address escalated queries and manage feedback process
• Monitor resolution process
• Formulate corrective actions plans to address frequent issues and problematic areas

Management and oversight of reporting function

• Review of Daily reporting on ATM issues. Address areas of non-compliance and deficiency:
• Non-compliance at Cash Centre level
• Overdue settlements
• Balance not executed due to exceptions
• Review of both internal and external monthly/daily reports

Minimum Requirements:

• 3 years supervisory experience
• Previous ATM Management experience would be highly beneficial
• Computer Literacy in MS Office Packages essential, with specific reference to advance Excel
• Knowledge of administrative procedures
• Knowledge of reconciliation procedures
• Knowledge of Cash Management Centre processes
• Knowledge of company policies and procedures 
• Willing to work alternate Saturdays and Sundays

Core Competencies

• MS Office Computer skills
• Acting professionally
• Sound communication skills (written and verbal)
• Supporting and working with other
• Delivering objectives 
• Sharing and cooperating
• Dealing with changing circumstances
• Numerical accuracy and high methodical working methods are required
• Attention to detail
• Ability to cope with large volumes of data and work